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Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery

Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

The aim of the study is to evaluate the technical feasibility and applicability of a surgical assistance system based on image recognition algorithms in a first-in-human pilot study. In addition, this study will provide preliminary data on the oncological outcome of the assistance system.

Eligibility

Inclusion Criteria:

  • Patients with rectal cancer scheduled for robot-assisted rectal resection
  • Intact preoperative urogenital/rectal function
  • Full capability of consent

Exclusion Criteria:

  • Previous/Second malignant disease <5 years before diagnosis of rectal cancer
  • Previous abdominal surgery, except for appendectomy, cholecystectomy or Cesarean section

Study details
    Rectum Cancer

NCT05652361

Technische Universität Dresden

22 February 2024

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